Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries.

LLM may be able to assist with the efficient collection of stroke audit data. Such approaches may be pursued in other specialties. Future studies should seek to examine the most effective way to deploy such approaches in conjunction with human auditors and researchers.